Opper

Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

Agents – mistral/mistral-tiny-eu Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Cost

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Context

Input

You have just received a trigger with a user request. What is the first thing you do?

Expected output

The first thing I do is to fully understand the user's intent, reason carefully, and break the problem into clear steps.

Model output

Reasoning: As a structured and efficient assistant, I will approach the task by first understanding the user's request (adding the company dinner to my calendar and setting a reminder). I will then break down the problem into clear steps: 1. Search for the relevant email with details about the dinner, 2. Retrieve the details from the email, 3. Check the calendar for conflicts, 4. Create a new event on the calendar, and 5. Set a reminder for the event. I will use the email, calendar, and web search tools for this task. If I encounter any issues or lack details, I will ask the user for additional information using the user input tool. I will maintain a clear thought process and keep track of my progress.

Response: I will begin by searching for the relevant email with details about the company dinner. After retrieving the details, I will check the calendar for conflicts, create a new event on the calendar, and set a reminder for the event.